基于像素点筛选的舰船湍流尾迹检测算法

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英文篇名：An Algorithm for the Detection of Turbulent Wake in SAR Image Based on Pixel Filtering 作者：韩笑 ; 赵雨欢 ; 刘鹏 英文作者：HAN Xiao;ZHAO Yuhuan;LIU Peng;Key Laboratory for Information Science of Electromagnetic Waves,Fudan University; 关键词：像素筛选 ; SAR图像 ; 尾迹检测 英文关键词：Pixels filtering;;SAR image;;Ship wake detection 中文刊名：WXDY 英文刊名：Microcomputer Applications 机构：复旦大学电磁波信息科学教育部重点实验室; 出版日期：2019-01-20 出版单位：微型电脑应用 年：2019 期：v.35;No.309 语种：中文; 页：WXDY201901019 页数：5 CN：01 ISSN：31-1634/TP 分类号：65-69

摘要

提出了一种利用像素筛选检测湍流尾迹的算法。针对组成湍流尾迹的像素点在SAR图像上的梯度与幅度具有一致性的特征,对SAR图像像素点进行筛选,保留位于湍流尾迹位置上的图像像素,滤除位于背景位置的图像像素,实现了对湍流尾迹的检测。该方法克服了传统Radon变换无法获得尾迹长度的局限,可以较为精确地框选出湍流尾迹所在的位置并获得尾迹方向。
        An algorithm is proposed for the detection of turbulent wake in SAR image based on pixel filtering.According to the characteristic of turbulent wakes in SAR images,that the pixels composing turbulent wakes have similar amplitudes and gradient directions,we filtrate the pixels in SAR images,retain the pixels composing turbulent wakes and remove those in the background.This method overcomes the limitation of those traditional ones using Radon transform,that the length and the directions of turbulent wakes cannot be obtained.Using the proposed method,the locations of turbulent wakes in SAR images can be accurately selected with boxes,and the directions of turbulent wakes can be obtained.

引文

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